Determination of Strength Exercise Intensities Based on the Load-Power-Velocity Relationship

• Authors: Daniel Jandačka , Petr Beremlijski
• Languages of publication: EN

Abstracts

EN

The velocity of movement and applied load affect the production of mechanical power output and subsequently the extent of the adaptation stimulus in strength exercises. We do not know of any known function describing the relationship of power and velocity and load in the bench press exercise. The objective of the study is to find a function modeling of the relationship of relative velocity, relative load and mechanical power output for the bench press exercise and to determine the intensity zones of the exercise for specifically focused strength training of soccer players. Fifteen highly trained soccer players at the start of a competition period were studied. The subjects of study performed bench presses with the load of 0, 10, 30, 50, 70 and 90% of the predetermined one repetition maximum with maximum possible speed of movement. The mean measured power and velocity for each load (kg) were used to develop a multiple linear regression function which describes the quadratic relationship between the ratio of power (W) to maximum power (W) and the ratios of the load (kg) to one repetition maximum (kg) and the velocity (m•s-1) to maximal velocity (m•s-1). The quadratic function of two variables that modeled the searched relationship explained 74% of measured values in the acceleration phase and 75% of measured values from the entire extent of the positive power movement in the lift. The optimal load for reaching maximum power output suitable for the dynamics effort strength training was 40% of one repetition maximum, while the optimal mean velocity would be 75% of maximal velocity. Moreover, four zones: maximum power, maximum velocity, velocity-power and strength-power were determined on the basis of the regression function.

Keywords

EN

biomechanics; optimization; bench press; soccer

• Publisher: De Gruyter Open
• Journal: Journal of Human Kinetics
• Year: 2011
• Volume: 28
• Pages: 33-44

Dates

published

1 - 6 - 2011

online

4 - 7 - 2011

Contributors

author

Daniel Jandačka

• Human Motion Diagnostics Center, University of Ostrava, Czech Republic

author

Petr Beremlijski

• Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, Czech Republic

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Identifiers

DOI

10.2478/v10078-011-0020-2